Intelligent prediction model for water inrush risk in RF water-rich tunnel based on AHP improvement
Fei Wan,
Nian Zhang,
Mengmeng Niu
et al.
Abstract:To prevent large-scale water inrush accidents during the excavation process of the rich water tunnel, a method based on AHP improved RF for intelligent risk prediction of the water-rich tunnel is proposed. By analyzing the influence of geological and hydrological conditions, design factors, and construction factors, 13 factors were selected as evaluation indicators for the risk of water inrush in the water-rich tunnel, including stratum lithology, poor geology, rock inclination, negative topographic area ratio… Show more
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